The document discusses bistable digital logic devices for all optical circuits. It begins with background on how optical architectures could replace electrical ones to overcome limitations of Moore's Law. It then introduces an optical logic gate scheme using a photonic resonant tunneling device based on a photonic crystal nanocavity. This device exhibits single wavelength bistability due to saturable absorption, which could be used to implement digital logic gates. The document also discusses two wavelength bistable switching and concludes that while optical devices are not yet as fast as electronic ones, emerging photonic crystal technologies may enable faster and more efficient all optical computing.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Indoor Localization Using Local Node Density In Ad Hoc WSNsjoaquin_gonzalez
Presentation for Master Thesis "Indoor Localization Using Local Node Density In Ad Hoc WSNs", research supported by Free University Berlin. Coordinators: Freddy Lopez Villafuerte, Gianluca Cornetta.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Indoor Localization Using Local Node Density In Ad Hoc WSNsjoaquin_gonzalez
Presentation for Master Thesis "Indoor Localization Using Local Node Density In Ad Hoc WSNs", research supported by Free University Berlin. Coordinators: Freddy Lopez Villafuerte, Gianluca Cornetta.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Deep-learning based single object tracker for night surveillance IJECEIAES
Tracking an object in night surveillance video is a challenging task as the quality of the captured image is normally poor with low brightness and contrast. The task becomes harder for a small object as fewer features are apparent. Traditional approach is based on improving the image quality before tracking is performed. In this paper, a single object tracking algorithm based on deep-learning approach is proposed to exploit its outstanding capability of modelling object’s appearance even during night. The algorithm uses pre-trained convolutional neural networks coupled with fully connected layers, which are trained online during the tracking so that it is able to cater for appearance changes as the object moves around. Various learning hyperparameters for the optimization function, learning rate and ratio of training samples are tested to find optimal setup for tracking in night scenarios. Fourteen night surveillance videos are collected for validation purpose, which are captured from three viewing angles. The results show that the best accuracy is obtained by using Adam optimizer with learning rate of 0.00075 and sampling ratio of 2:1 for positive and negative training data. This algorithm is suitable to be implemented in higher level surveillance applications such as abnormal behavioral recognition.
Range Free Localization using Expected Hop Progress in Wireless Sensor NetworkAM Publications
Wireless sensor network (WSN) combines the concept of wireless network with sensors. Wireless Sensor Networks
have been proposed for a multitude of location-dependent applications. Localization (location estimation) capability is
essential in most wireless sensor network applications. In environmental monitoring applications such as animal habitat
monitoring, bush fire surveillance, water quality monitoring and precision agriculture, the measurement data are
meaningless without an accurate knowledge of the location from where the data are obtained. Finding position without the
aid of GPS in each node of an ad hoc network is important in cases where GPS is either not accessible, or not practical to use
due to power, form factor or line of sight conditions. So here we are going to used DV-Hop algorithm, i.e. distance vector
routing algorithm for finding the position of sensor. Here we summarizes the performance evaluation criteria of the
wireless sensor network and algorithms, classification methods, and highlights the principles and characteristics of the
algorithm and system representative of the field in recent years, and several algorithms simulation and analysis.
Leading water utility company in USA was facing a challenge to improve pipeline inspection process to reduce human errors and manual inspection time.Pipeline Anomaly Detection automates the process of identification of defects in pipeline videos, by a camera which notes the observations and lastly it generates the report.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/10/building-the-eyes-of-a-vision-system-from-photons-to-bits-a-presentation-from-gopro/
Jon Stern, Director of Optical Systems at GoPro, presents the “Building the Eyes of a Vision System: From Photons to Bits” tutorial at the May 2021 Embedded Vision Summit.
In this tutorial, Stern presents a guide to the multidisciplinary science of building the eyes of a vision system. CMOS image sensors have been instrumental in lowering the barrier for embedding vision into systems. Their high degree of integration allows photons to be converted into bits with minimal support circuitry. Simple protocols and interfaces mean that companies can design camera-based systems with comparatively little specialist expertise.
To produce high-quality output, the image sensor and optics must be carefully co-optimized to fit the application. To assist with component selection and help avoid common pitfalls, Stern describes the key parameters and provides a practical guide to selecting both sensor and optics for a camera. He also provides an introduction to other hardware considerations and to correcting optical aberrations in the image processing pipeline.
A Novel Three-Dimensional Adaptive Localization (T-Dial) Algorithm for Wirele...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Deep-learning based single object tracker for night surveillance IJECEIAES
Tracking an object in night surveillance video is a challenging task as the quality of the captured image is normally poor with low brightness and contrast. The task becomes harder for a small object as fewer features are apparent. Traditional approach is based on improving the image quality before tracking is performed. In this paper, a single object tracking algorithm based on deep-learning approach is proposed to exploit its outstanding capability of modelling object’s appearance even during night. The algorithm uses pre-trained convolutional neural networks coupled with fully connected layers, which are trained online during the tracking so that it is able to cater for appearance changes as the object moves around. Various learning hyperparameters for the optimization function, learning rate and ratio of training samples are tested to find optimal setup for tracking in night scenarios. Fourteen night surveillance videos are collected for validation purpose, which are captured from three viewing angles. The results show that the best accuracy is obtained by using Adam optimizer with learning rate of 0.00075 and sampling ratio of 2:1 for positive and negative training data. This algorithm is suitable to be implemented in higher level surveillance applications such as abnormal behavioral recognition.
Range Free Localization using Expected Hop Progress in Wireless Sensor NetworkAM Publications
Wireless sensor network (WSN) combines the concept of wireless network with sensors. Wireless Sensor Networks
have been proposed for a multitude of location-dependent applications. Localization (location estimation) capability is
essential in most wireless sensor network applications. In environmental monitoring applications such as animal habitat
monitoring, bush fire surveillance, water quality monitoring and precision agriculture, the measurement data are
meaningless without an accurate knowledge of the location from where the data are obtained. Finding position without the
aid of GPS in each node of an ad hoc network is important in cases where GPS is either not accessible, or not practical to use
due to power, form factor or line of sight conditions. So here we are going to used DV-Hop algorithm, i.e. distance vector
routing algorithm for finding the position of sensor. Here we summarizes the performance evaluation criteria of the
wireless sensor network and algorithms, classification methods, and highlights the principles and characteristics of the
algorithm and system representative of the field in recent years, and several algorithms simulation and analysis.
Leading water utility company in USA was facing a challenge to improve pipeline inspection process to reduce human errors and manual inspection time.Pipeline Anomaly Detection automates the process of identification of defects in pipeline videos, by a camera which notes the observations and lastly it generates the report.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/10/building-the-eyes-of-a-vision-system-from-photons-to-bits-a-presentation-from-gopro/
Jon Stern, Director of Optical Systems at GoPro, presents the “Building the Eyes of a Vision System: From Photons to Bits” tutorial at the May 2021 Embedded Vision Summit.
In this tutorial, Stern presents a guide to the multidisciplinary science of building the eyes of a vision system. CMOS image sensors have been instrumental in lowering the barrier for embedding vision into systems. Their high degree of integration allows photons to be converted into bits with minimal support circuitry. Simple protocols and interfaces mean that companies can design camera-based systems with comparatively little specialist expertise.
To produce high-quality output, the image sensor and optics must be carefully co-optimized to fit the application. To assist with component selection and help avoid common pitfalls, Stern describes the key parameters and provides a practical guide to selecting both sensor and optics for a camera. He also provides an introduction to other hardware considerations and to correcting optical aberrations in the image processing pipeline.
A Novel Three-Dimensional Adaptive Localization (T-Dial) Algorithm for Wirele...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Course: Semiconductor Physics for B.Tech
Topic: Basics of Optical Fibre Communication
The slides have been explained using animations, so download the presentation and run on your computer for better visualisation.
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
The automotive industry requires an automated system to sort different sizes and shapes
objects, images which are the mainly used component in the industry, to improve the overall
productivity. There are things at which humans are still way ahead of the machines in terms of
efficiency one of such thing is the recognition especially pattern recognition. There are several
methods which are tested for giving the machines the intelligence in efficient way for pattern
recognition purpose. The artificial neural network is one of the most optimization techniques used
for training the networks for efficient recognition. Computer vision is the science and technology of
machines that can see. The machine is made by integration of many parts to extract information from
an image in order to solve some task. Principle component analysis is a technique that will be
suitably used for the application purpose for sorting, inspection, fault diagnosis in various field.
PHYSICAL LAYER SECURITY OF OPTICAL NETWORKS.pdfadeel paracha
Abstract
The physical layer of an optical network may be attacked in numerous ways, such as by jamming, assaults on the physical infrastructure, eavesdropping, and interception. As the requirement for network capacity develops, the physical layer of the optical network must be kept secure. In this overview article, specialists look at security problems in optical networks and discuss a variety of novel approaches to defending optical networks. In the first section of this study, researchers discuss a variety of security issues that might harm the optical layer of an optical network. These weaknesses include jamming, physical infrastructure assaults, eavesdropping, and interception. Enhanced optical network security has gained a lot of interest in the sectors described above. Real-time signal processing is essential in order to apply security measures at the physical layer without slowing down the pace of optical communications. The key advantages of optical processing for optical layer security include rapid reaction, wide-band operation, resilience to electromagnetic fields, compact size, and low latency. In the second part of this research, we look into optical steganography, optical encryption, optical code-division multiple access (CDMA) secrecy, self-healing, survivable optical rings, anti-jamming, and optical CDMA confidentiality.
I. Introduction
Introduction Optical communication systems are employed in many different fields, including business, the military, and personal communication. Optical networks are unusual in that their data speeds are greater than 40 GB/s, and this figure will only increase as time goes on. Physical layer security measures have to function in real time, which is not achievable with standard electronic computing. Side-channel assaults are less likely to emerge in optical communication networks because optical components don’t leave electromagnetic traces. With optical encryption, communications may be encrypted fast and with minimum latency (at speeds not attainable with standard electrical implementations) (at rates not possible with conventional electrical implementations). In addition to data encryption, optical steganography may be used to obscure the flow of data over an open transmission channel.
II. Threats and defenses in optical networks at the optical layer
There are many different forms of optical networks, from local area networks to the backbone networks of the Internet. Each network may tackle a particular threat type in a different manner. Researchers investigate the optical layer to examine whether there are any threats to privacy, availability, authentication, and secrecy (Skorin-Kapov, 2016).
A. Confidentiality
Even though optical networks don’t have an electromagnetic signature, an attacker may nonetheless listen in on them by physically tapping into the optical fiber or by pretending as a lawful subscriber and listening to residual crosstalk from an adjacent channel. It is not hard to tap an
Solar eclipse 2017 - aaa -- ny sci -- the diamondM. Faisal Halim
This was a primer for the August 2017 Solar Eclipse, given by me to the New York Hall of Science, on behalf of the Amateur Astronomers Association of New York
All optical image processing using third harmonic generation for image correl...M. Faisal Halim
Term Paper: All optical image processing using third harmonic generation for image correlation
Optical Information Processing Course
Monday, 20th December, 2010
Nonthermal Opto-Magnetic Memristors and Characterization by Ultrafast Pump an...M. Faisal Halim
Proposal for concepts for opto memristor and proposed microscopy techniques for testing the said optical memristor materials.
Apparently, Slideshare cannot have the page numbers (from MS Word documents) starting from zero, and it cannot display Word's automatically generated table of contents. So, the table of contents shown here is a graphic with the numbers displaced by one -- if the page number is said to be '1' then the material is on a page which is numbered as '2.' Sorry for the inconvenience, but this is a little out of my hands.
This is a follow up to:
http://www.slideshare.net/faissal.bd/draft-proposal-for-concepts-for-opto-memristor-and-proposed-microscope-design-for-testing-the-said-optical-memristor-materials
Draft proposal for concepts for opto memristor and proposed microscope design...M. Faisal Halim
Draft proposal for concepts for opto memristor and proposed microscope design for testing the said optical memristor materials.
The follow up to this is here:
http://www.slideshare.net/faissal.bd/nonthermal-optomagnetic-memristors-and-characterization-by-ultrafast-pump-and-probe-polarimetric-microscopy/v1
Spaser Amplifier for Small Signal Detection for Raman Scattering Measurements...M. Faisal Halim
Originally part of a presentation:
Detection of a single BSA molecule by amplifying its Raman signal.
Done with my friend: Pemba Lama
[I came up with the idea for amplifier (and detector scheme) so that is what I have posted]
For Course Project: Nano and Micro Photonics
Under Prof. Vinod Menon, Queens College and Graduate Center, CUNY
The project was devised so that students come up with original ideas, based on known physical principles, for the detection of a single molecule of BSA (a biological molecule). Unfortunately, this means we could not verify the validity of the work, and my work is no exception. It is my hope that I have not overlooked any relevant physical principles, and that this kind of amplifier is possible. If anyone finds my design promising then:
-I would certainly like to know the simulation and experimental results
-I would like credit in the resulting publication – Thanks.
The substrate work that I did prior to this (and the mis-conceived SPASER work that I previously came up with) is here:
http://www.slideshare.net/faissal.bd/spaser-amplifierforsmallsignaldetectionforramanscatteringmeasurementsofasinglemoleculeofbsa
The SPASER work there is fundamentally flawed, but perhaps the substrate work is not entirely useless.
My 9th Grade Brother asked me what I do in my lab, so I threw together this presentation. I am not sure how much a 9th Grader knows, but I intended this presentation to give him exposure, rather than to have him understand everything. Please feel free to critique my presentation, and certainly point out any pictures that I may have failed to give the original sources credit for.
Analysis Of Carbon Nanotubes And Quantum Dots In A Photovoltaic Device Slide ...M. Faisal Halim
Francis' presentation to Louis Stokes Association for Minority Participation. Since I co-authored this work I think I have the right to a copy. I was the graduate student Francis was working with.
Analysis Of Carbon Nanotubes And Quantum Dots In A Photovoltaic DeviceM. Faisal Halim
Analysis of Carbon Nanotubes and Quantum Dots in a Photovoltaic Device
A poster prepared by Francis and me; presented by Francis. I modified on of the photographs used, in this copy.
Earth Viewing Systems Satellite Sensor Project, for Professor DiNardo's Course.
The presentation was given on 14th May, 2009.
______________________________________
I realize that some of the graphics do not have their sources cited, but I did not make those slides, and the group members who made them did not remember their sources. So, please forgive this oversight, since I consider it important enough to students of the earth surveillance class at The City College of New York (and elsewhere) that old presentations be available to them.
If, however, you can give me the sources of the graphics that you see, then I will be grateful, and I will be happy to cite them.
1. Bistable Digital Logic Devices Halim
Bistable Digital Logic Devices
for All Optical Circuits
Mohammad Faisal Halim (Faissal)
Laser Course
Professor Dosinville
1
2. Bistable Digital Logic Devices Halim
Bistable Digital Logic Devices
for All Optical Circuits
Contents
Page
Topic Number
Prologue: Moore’s Law 3
Background: The Optical Architecture 5
Introduction: The Optical Logic Gate 6
Utilizing a Photonic Resonant-Tunneling Device
Based on Photonic-Crystal Nanocavity 8
Single Wavelength Bistability 8
Conclusion 13
Appendix 14
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3. Bistable Digital Logic Devices Halim
Bistable Digital Logic Devices
for All Optical Circuits
Prologue: Moore’s Law
Figure 1: Moore’s Law
The relentless push for Moore’s Law has resulted in microchip circuit components that
are becoming so small that any further push towards miniaturization (in order to attain
more speed) will result in quantum mechanical effects becoming more pronounced in the
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4. Bistable Digital Logic Devices Halim
devices. These effects will not just result in power losses, but will also result in the
devices having less reliable behavior: their behavior will acquire a statistical nature.
Further, with the current state of electrical technology copper (which is used in the
interconnects, in chips) is approaching its information carrying capacity.
The Harry Truman Approach: “If you can’t stand the heat, get out of the kitchen.” That
quote is one way to justify moving out of the current paradigm to chip design, entirely,
and migrate to an inherently faster one: using light to carry information. The dream of
optical computing has existed for a long time, but the technology has been a long time in
coming. The basic concept is this: use light, instead of electricity, to transmit information
across a chip, and use logic gates that switch light, instead of currents and voltages, to
perform logic operations. The primary advantage is that light travels much faster than a
current, so chips that use light will be a lot faster, and optical switching could be done
faster than current and voltage switching (which is done in modern transistor
technology), thus speeding up processor speeds.
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5. Bistable Digital Logic Devices Halim
Background: The Optical Architecture
A computer microprocessor utilizing all optical circuitry (which would not be “circuitry”
as taught in introductory physics) would have dielectric waveguides as to channel the
light inside the processor, and optical transistors and other optical bistable devices to do
the logic operations.
Figure 2: Source: MODELING OF PHOTONIC BAND GAP STRUCTURES AND PROPOSED SYNTHESIS SCHEMES
By Srivatsan Balasubramanian, RPI, 2002
Figure 3: Source: Hwang, Cho, Kang, Lee, Park, Rho, “Two-Dimensional Optical Interconnection Based on Two-Layered Optical
Printed Circuit Board,” IEEE Photon. Technol. Lett., vol. 19, no. 6, pp 411-413, Mar. 15, 2007.
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6. Bistable Digital Logic Devices Halim
Introduction: The Optical Logic Gate
The following schematic shows a digital logic circuit, where the inputs and outputs are all
light, rather than voltages or currents.
Figure 4: Schematic of a digital logic device
The way all optical technology is being developed, all inputs and outputs to such a device
will have to be lasers. This is because while technologies like MEMS can be used to
switch light, these systems will be cumbersome, and will not have the desired speeds that
motivated all optical computing, in the first place. Laser is used, instead, for theoretical
and experimental work in this area for the following reasons:
1. Laser light being monochromatic, can be controlled using structures that have a
photonic band gap (PBG).
2. Laser light can be confined into tight spaces, thus allowing miniaturization of
devices (if small enough wavelengths are used).
3. With technologies like opal and inverse opal based photonic crystals (PCs) that
have a PGB at the wavelength of the laser, the laser light can be confined in
microcavities that have a high Q, thus allowing for high intensities of lasers being
generated within devices.
4. It is practical to generate high enough intensities of laser light in microdevices to
utilize non-linear optical (NLO) effects, for use in optical switching.
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7. Bistable Digital Logic Devices Halim
5. With PCs the spontaneous emission of light of a chosen frequency can be
prevented in a microcavity, thus allowing for high efficiency, low threshold
lasers, for use in all optical devices.
Currently, a number of hybrid technologies are being developed that use electro-optic
effects, but they are limited (in speed) in the long run, since they are still dependent on
the speed of electronics. All optical devices, on the other hand, will only be limited by the
speed of light in the dielectrics used, and the speeds with which the materials used in
such devices will react to the light.
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8. Bistable Digital Logic Devices Halim
Utilizing a Photonic Resonant-Tunneling Device
Based on Photonic-Crystal Nanocavity
According to the paper “Optical bistable switching action of Si high-Q photonic-crystal
nanocavities,” (Notomi, Shinya, Mitsugi, Kira, Kuramochi, Tanabe, OPTICS EXPRESS
Vol. 13, No. 7 Apr. 4, 2005) single wavelength and two wavelength bistable devices an
be made for al optical circuits, to implement digital logic. The device the group used is
shown in Figure 5.
Figure 5: Photonic resonant-tunneling device based on PC nanocavity
Single Wavelength Bistability
Figure 6 shows that the light transmission characteristics of the material under test varies
with the intensity of the incident light: as the intensity of the light (at any given
wavelength) increases, at a certain intensity the transmitted intensity goes up, and when
the incident light is being lowered in intensity then at a certain intensity the transmitted
intensity goes down.
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9. Bistable Digital Logic Devices Halim
Figure 6: Utilizing intensity dependent transmission curves
Figure 7 shows a schematic of what happens in Figure 6, for any chosen wavelength.
Figure 7: A schematic of Figure 6, for a chosen wavelength.
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10. Bistable Digital Logic Devices Halim
What Figure 7 shows is this (the numbers match the numbers on the curves):
1) As the incident intensity is swept down then at some intensity the transmitted
power drops down precipitously.
2) The point marked ‘2’ in the figure corresponds to the intensity at which the device
is in the OFF state.
3) Then, as the incident intensity is increased then at a certain intensity that is greater
than the intensity at which the device turned OFF the device turns ON, that is the
transmitted intensity increases dramatically.
The effects shown in Figure 7 are due to an effect called “Saturable Absorption” (Laser
Fundamentals, Silfvast). Figure 8, perhaps, gives a better depiction.
Figure 8: Output signal versus input signal, showing bistability
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11. Bistable Digital Logic Devices Halim
For a device, as depicted in Figure 4, an input (called “Signal” in Figure 4) could come in
at an input intensity slightly less than I1(in) (from Figure 8), and the control signal
(“Control,” from Figure 4) could have an intensity such that the total intensity of the two
beams is slightly greater than I2(in) (from Figure 8), and the resulting output signal
(“Output”, from Figure 4) could be the output from an AND gate, as used in digital logic.
In principle, this sort of bistability is achieved by a saturable absorber. As the incident
intensity is increased, the beam is absorbed by the absorber, until at a certain intensity
[I1(in) (from Figure 8)] the absorber is bleached, ad so it suddenly lets the light through,
with very little loss in intensity. When the incident laser is being reduced in intensity then
the absorber will still have some stored photons, causing it to stay bleached until the
incident beam is reduced in intensity to I2(in) (from Figure 8) – this is lower than I1,
when the absorber looses its stored photons and the transmitted intensity goes down.
Since I2(in) is less than I1(in) (both, from Figure 8) we see the hysteresis.
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12. Bistable Digital Logic Devices Halim
The group also performed two wavelength bistable switching, and obtained the following
result (which gets conceptually more complicated), as shown in Figure 9 (for the device
shown in Figure 5).
Figure 9: Digital Logic
Figure 10 shows the two wavelength switching times and energies.
Figure 10: Switching speeds and energies
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13. Bistable Digital Logic Devices Halim
Conclusion
Although all optical bistable switching devices are still not as fast as all electronic
devices, they have the potential to be made faster, and more energy efficient, particularly
in light of emerging technologies in fabrication of PCs that have 3D bandgaps.
Some PBGs are shown in Figure 11.
Figure 11: Photonic Bandgaps and material construction of the PCs
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14. Bistable Digital Logic Devices Halim
Appendix
“Optical bistable switching action of Si high-Q photonic-crystal nanocavities,”
(Notomi, Shinya, Mitsugi, Kira, Kuramochi, Tanabe, OPTICS EXPRESS Vol. 13, No.
7 Apr. 4, 2005)
MODELING OF PHOTONIC BAND GAP STRUCTURES AND PROPOSED
SYNTHESIS SCHEMES, By Srivatsan Balasubramanian, RPI, 2002
Hwang, Cho, Kang, Lee, Park, Rho, “Two-Dimensional Optical Interconnection Based
on Two-Layered Optical Printed Circuit Board,” IEEE Photon. Technol. Lett., vol. 19,
no. 6, pp 411-413, Mar. 15, 2007.
Intel Corporation
Laser Fundamentals, Silfvast
14